Dataset underpinning the PhD thesis "An in vitro model of daily proteolytic burden provides insights into the proteostatic reslience of the RPE".
Dataset underpinning the PhD thesis "An in vitro model of daily proteolytic burden provides insights into the proteostatic reslience of the RPE".
Dataset underpinning the PhD thesis "An in vitro model of daily proteolytic burden provides insights into the proteostatic reslience of the RPE".
AMD, RPE, POS, RNAseq, Cell culture, proteostasis, Amyloid Beta, OxPOS
University of Southampton
Miller, Rebecca Denise
55f92938-8417-4e07-a482-8fa4f5da42e5
Miller, Rebecca Denise
55f92938-8417-4e07-a482-8fa4f5da42e5
Miller, Rebecca Denise
(2026)
Dataset underpinning the PhD thesis "An in vitro model of daily proteolytic burden provides insights into the proteostatic reslience of the RPE".
University of Southampton
doi:10.5258/SOTON/PG/D299
[Dataset]
Abstract
Dataset underpinning the PhD thesis "An in vitro model of daily proteolytic burden provides insights into the proteostatic reslience of the RPE".
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Published date: 2026
Keywords:
AMD, RPE, POS, RNAseq, Cell culture, proteostasis, Amyloid Beta, OxPOS
Identifiers
Local EPrints ID: 511500
URI: http://eprints.soton.ac.uk/id/eprint/511500
PURE UUID: 9ce351fe-af3f-4047-b0a6-fdfe4e2783d5
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Date deposited: 18 May 2026 16:39
Last modified: 19 May 2026 02:00
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Contributors
Creator:
Rebecca Denise Miller
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